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27 results for “dual process”
Data for: From pattern to process? Dual travelling waves, with contrasting propagation speeds, best describe a self-organised spatio-temporal pattern in population growth of a cyclic rodent
<p>Centroid data used for the analysis in Roos et al. Eco Lett.</p> <p>Transects, up to 99 m in length (dependent on the field's length), were surveyed in linear stable landscape features (field, track or ditch margins) to estimate vole abundance from November 2011 until September 2017. Each transect was divided into 3 m sections (33 in total) and the presence or absence of one or more signs of vole activity (i.e., latrines by burrows, fresh vegetation clippings, and recent burrow excavations) in each section was noted. The proportion of sections with signs of vole presence per transect was then used as the abundance index. The number of surveys carried out at any time varied adaptively with the perceived risk of an outbreak (according to changes in estimated abundance in previous monitoring surveys).</p> <p>The response variable typically used in all models is proportional growth rate (r_{t,i}, where is the abundance index for site at time (Royama 1992; Berryman 2002). A benefit of using r_{t,i}, rather than ln(N_{t,i}), is that any multiplicative effects of site quality are cancelled out, provided they are constant over time. To calculate r_{t,i}, vole abundance indices are required at the same location in successive time periods (i.e., N_{t,i} and N_{t+1,i}). Given that exact transect locations were rarely reused in successive months, and all transect measurements took place throughout the year rather than discrete seasons, the data had to be aggregated to consistent locations and times to allow growth rate to be calculated. As such, transects were temporally aggregated into a respective yearly quarter (e.g., January to March 2014). Transects were spatially aggregated by sequentially selecting an unassigned transect as a reference point for the ith centroid and assigning all unassigned transects within a 5 km radius to the ith centroid, and repeating until all transects had been allocated (see Figure 2 for a summary of the number of transects assigned to each centroid, centroid locations, and time series of growth rate of each centroid). Once complete, the mean Julian day, X and Y UTM (Universal Transverse Mercator) and the mean index was calculated for all transects assigned to each centroid for each time period. Where a centroid had successive values of N_{t,i} and N_{t+1,i} available, the corresponding proportional growth rate was calculated.</p> <p>A constant of 3.03 was added to N_{t,i} to avoid zero entries (3.03 was the lowest non-zero value of <em>N</em> observed). The final dataset consisted of 3,751 observations.</p>
Data, scripts, and figures of the article: Processing weights of chickens determined by Dual-Energy X-Ray Absorptiometry. 2. Developing prediction models
<p>This data set contains the data, JMP scripts, and figures of the article titled "Processing weights of chickens determined by Dual-Energy X-Ray Absorptiometry. 2. Developing prediction models" to be published in the journal Animal - Open Space.</p>
Data, scripts, and figures of the article: Processing weights of chickens determined by Dual-Energy X-Ray Absorptiometry. 1. Weight changes due to fasting, bleeding, and chilling
<p>This data set contains the data, JMP scripts, and figures of the article titled "Processing weights of chickens determined by Dual-Energy X-Ray Absorptiometry. 1. Weight changes due to fasting, bleeding, and chilling" to be published in the journal Animal - Open Space. </p>
Prescheduled Interleaving of Processing Reduces Interference in Motor-Cognitive Dual Tasks
<p>All performance-data sets are provided in three seperate .txt-files for each subject.</p> <p>Subject_##_CognitiveTask.txt consists of a chronology table of 8 columns and subject depent number of rows for the 2-back task.</p> <p>col. 1: "Stimulus number" = running number of n stimuli ("0001,0002, ..., n").<br> col. 2: "Day" = Number of the testing day, which is:<br> "1" for day 1, <br> "2" for day 2, or<br> "3" for day 3.<br> col. 3: "Walking Speed [km/h]" = Speed condition of the testing day, which is:<br> "3" for 3 km/h,<br> "4" for 4 km/h, or<br> "5" for 5 km/h.<br> col. 4: "Test block" = Each day includes seven test blocks, where:<br> "1" is the Sitting condition conducted twice, in the beginning and the end of each testing day.<br> "2" is the 0% condition,<br> "3" is the 50% condition,<br> "4" is the 75% condition,<br> "5" is the Earlier condition, and<br> "6" is the Later condition.<br> col. 5: "Trial" = "1" is the first trial,<br> "2" is the second trial, and<br> "3" is the third trial.<br> col. 6: "Reaction time [ms]" = Reaction time data in milliseconds as floating-point numbers. Missing values are substituted by a "NaN" signature.<br> col. 7: "Required decision" = This column shows, whether there was a matching ("1") or a non-matching ("0") required in the 2-back task. Missing values are substituted by a "NaN" signature.<br> col. 8: "Performed decision" = The column shows, whether the subject responded indicating a matching ("1") or a non-matching ("0") in the 2-back task. Missing values are substituted by a "NaN" signature.</p> <p><br> Subject_##_MotorTask_StrideDuration.txt consists of a chronology table of 7 columns and subject depent number of rows for walking strides under single-task and dual-task condition.</p> <p>col. 1: Stride number" = running number of n strides ("0001,0002, ..., n").<br> col. 2: "Day" = Number of the testing day, which is:<br> "1" for day 1, <br> "2" for day 2, or<br> "3" for day 3.<br> col. 3: "Walking Speed [km/h]" = Speed condition of the testing day, which is:<br> "3" for 3 km/h,<br> "4" for 4 km/h, or<br> "5" for 5 km/h.<br> col. 4: "Test block" = Each day includes seven test blocks, where:<br> "2" is the 0% condition,<br> "3" is the 50% condition,<br> "4" is the 75% condition,<br> "5" is the Earlier condition, and<br> "6" is the Later condition.<br> col. 5: "Trial" = Each block consisted of six trials ("1, 2,..., or 6").<br> col. 6: "Task condition" = shows whether the trial was instructed as a single-task ("1") or as a motor-cognitive dualtask ("2").<br> col. 7: "Stride duration [s]" = The duration of each detected stride is written in seconds. Missing values are substituted by a "NaN" signature.</p> <p><br> Subject_##_MotorTask_StrideLength.txt consists of a chronology table of 7 columns and subject depent number of rows for walking strides under single-task and dual-task condition.</p> <p>col. 1: Stride number" = running number of n strides ("0001,0002, ..., n").<br> col. 2: "Day" = Number of the testing day, which is:<br> "1" for day 1, <br> "2" for day 2, or<br> "3" for day 3.<br> col. 3: "Walking Speed [km/h]" = Speed condition of the testing day, which is:<br> "3" for 3 km/h,<br> "4" for 4 km/h, or<br> "5" for 5 km/h.<br> col. 4: "Test block" = Each day includes seven test blocks, where:<br> "2" is the 0% condition,<br> "3" is the 50% condition,<br> "4" is the 75% condition,<br> "5" is the Earlier condition, and<br> "6" is the Later condition.<br> col. 5: "Trial" = Each block consisted of six trials ("1, 2,..., or 6").<br> col. 6: "Task condition" = shows whether the trial was instructed as a single-task ("1") or as a motor-cognitive dual task ("2").<br> col. 7: "Stride duration [mm]" = The length of each detected stride is written in millimeter. Missing values are substituted by a "NaN" signature.</p>
Data, scripts, and figures of the article: Processing weights of chickens determined by Dual-Energy X-Ray Absorptiometry. 3. Validation of prediction models
<p>This data set contains the data, JMP scripts, and figures of the article titled "Processing weights of chickens determined by Dual-Energy X-Ray Absorptiometry. 3. Validation of prediction models" to be published in the journal Animal - Open Space.</p>
Data from: Double-strand break repair pathways differentially affect processing and transduction by dual AAV vectors
Open the record for dataset details and reuse information.
Improved dual-permeability model for characterizing the mass transfer process inside matrix blocks
<p>The dual-permeability model (DPM) is highly efficient for describing bimodal transport in heterogeneous porous media. However, it uses only one domain to describe the matrix blocks, and it therefore ignores the impact of the mass transfer process inside the matrix blocks at the microscale. Therefore, in this study, to investigate the effect of the mass transfer process in dual-permeability media and the computational accuracy when considering it, the dual-permeability model with a transition domain (DPMTD) is proposed based on the DPM. Comparison of the DPMTD with the DPM by applying them to a sand column experiment with the same concept as the model reveals that the DPMTD captures the bimodal transport (especially the first peak) more effectively because it calculates the rapid exchange of solute in the early stage more accurately. Subsequently, the same conclusion is reached when both models are applied to a reported solute displacement experiment for an Andisol. In short, we suggest that the mass transfer process inside matrix blocks needs to be characterized in the model to achieve higher accuracy and provides a new approach for modeling the solute transport of preferential flow.</p>
Improved dual-permeability model for characterizing the mass transfer process inside matrix blocks
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Dual community assembly processes in dryland biocrusts communities
<p>1. Biocrusts are critical components of drylands where they regulate a wide range of ecosystem functions, however, their response to the worldwide phenomenon of shrub encroachment and to livestock grazing, the most extensive land use in drylands, are not well studied. Grazing by livestock and increases in shrub cover could influence biocrust communities directly via trampling or shading, or indirectly, by altering biotic interactions amongst biocrust taxa. The extent of these changes in biocrust cover, diversity and composition are poorly known.<br> 2. We used linear models and structural equation modelling to examine the direct effects of grazing and shrubs on biocrust community composition and the indirect effects mediated by changes in species interactions.<br> 3. Biocrust richness and cover increased with increasing shrub cover at the site level. This pattern occurred despite the negative response we found (lower cover and richness) under shrub patches vs open areas, which was consistent irrespective of grazing level. Functional diversity and evenness were similar between shrubs and open at low grazing intensity, but at high grazing functional diversity was greater in the open. Competition between biocrust species was an important driver of their community assembly irrespective of shrub cover, grazing intensity or patch type. Structural equation models showed that the effects of grazing and shrub cover on functional evenness, functional diversity and richness were controlled by biotic interactions within the shrub microsites. In the open, however, these effects were either direct or mediated by changes in cover.<br> 4. Biocrust cover, species richness and functional diversity increase with shrub cover at the site scale, despite the negative effects at the microsite level. We demonstrate here that drivers of community assembly differ markedly at small spatial scales. Though biocrust communities were directly driven by environmental filtering in the open, biotic interactions played a fundamental role in their assembly when growing beneath shrubs.</p>
Acoustic Emission Dataset for Multi-Laser LPBF Systems: Supporting DUAL DISCO Signal Processing Technique
<p>This dataset contains acoustic emission (AE) signals collected during experiments with multi-laser Laser Powder Bed Fusion (LPBF) systems. The data supports the research presented in the paper titled "DUAL DISCO: A Novel Approach to Acoustic Emission Monitoring in Multi-Laser LPBF Systems." The dataset is designed to facilitate the development and validation of advanced signal processing techniques, specifically the DUAL DISCO method, which aims to disentangle and analyze AE signals from simultaneous laser operations.</p> <p><strong>Contents:</strong></p> <ul> <li> <p><strong>Raw_data.zip:</strong> This file contains the AE signals used for training. The data was recorded using two condenser microphones positioned around the LPBF build plate, capturing signals from both sequential and simultaneous laser operations across various melting regimes (conduction and keyhole modes).</p> </li> <li> <p><strong>Raw_data_test.zip:</strong> This file includes the AE signals used for testing, recorded under different experimental conditions to evaluate the generalization capabilities of signal processing algorithms.</p> </li> <li> <p><strong>params.xlsx:</strong> This spreadsheet provides the ground truth labels for the training data, indicating the melting regime (conduction or keyhole) for each signal in Raw_data. </p> </li> <li> <p><strong>params_test.xlsx:</strong> This spreadsheet contains the ground truth labels for the test data, similarly indicating the melting regime for each signal in Raw_data_test.</p> </li> </ul> <p><strong>Applications:</strong></p> <p>This dataset is intended for researchers and practitioners in the field of additive manufacturing and signal processing. It can be used to:</p> <ul> <li>Develop and test new algorithms for AE signal processing in multi-laser LPBF systems.</li> <li>Explore the acoustic characteristics of different melting regimes.</li> <li>Enhance the understanding of process monitoring techniques in additive manufacturing.</li> </ul> <p><strong>Acknowledgments:</strong></p> <p>The dataset was collected using the AddUp FormUp 350 machine and is part of a research project supported by the Bern Economic Development Agency. Special thanks to Thomas Rytz for technical support.</p>
Dispersion Engineered Metasurfaces for Broadband, High-NA, High-Efficiency, Dual-Polarization Analog Image Processing
<p>This dataset contains tabulated versions of the experimental data shown in the pictures of the publication "Dispersion Engineered Metasurfaces for Broadband, High-NA, High-Efficiency, Dual-Polarization Analog Image Processing"</p><p><strong>Figure 2</strong></p><ul><li>The file Fig_2_tpp.xlsx contains the raw data of Fig. 2g. The first sheet contains a 31 x 121 matrix. The second sheet contains a column vector with 121 entries, corresponding to the wavelength axis. The third sheet contains a column vector with 31 entries, corresponding to the angle theta axis.</li><li>The file Fig_2_tss.xlsx contains the raw data of Fig. 2i. The first sheet contains a 31 x 121 matrix. The second sheet contains a column vector with 121 entries, corresponding to the wavelength axis. The third sheet contains a column vector with 31 entries, corresponding to the angle theta axis.</li><li>The data of the plots in Fig. 2h and 2j can be extracted from the corresponding row/columns in the files Fig_2_tpp.xlsx and Fig_2_tss.xlsx</li></ul><p><strong>Figure 4</strong></p><ul><li>The file Fig_4b_MSoff.xlsx contains the raw data of the first panel ('NO Metasurface') of Fig. 4b</li><li>The files Fig_4b_MSon_X.xlsx, with X = [1435, 1445, 1450, 1452, 1455:5:1480, 1483, 1485, 1490, 1495], contain the raw data of the other panels of Fig. 4b.</li><li>For all panels of Fig. 4b, each pixel corresponds to 0.2864 microns.</li><li>The data of the plots in Fig. 4c can be extracted from the corresponding row/columns of the plots in Fig. 4b</li></ul><p><strong>Figure 5</strong></p><ul><li>The file Fig_5a.xlsx contains the spectra shown in Fig. 5a</li><li>The files Fig_5b_MSoff.xlsx, Fig_5b_MSon_xpol.xlsx, Fig_5b_MSon_ypol.xlsx, Fig_5b_MSon_+45.xlsx, Fig_5b_MSon_-45.xlsx, Fig_5b_MSon_Lpol.xlsx, Fig_5b_MSon_Rpol.xlsx contains the raw data of the panels b, c, d, e, f, g, h, respectively</li><li>For all 2D images in Fig. 5, each pixel corresponds to 0.2864 microns.</li><li>The data of the plots in Fig. 5i can be extracted from the corresponding row/columns of the plots in Figs. 5c-5h</li></ul>
fMRI Study of a Dual Process Treatment Protocol With Substance Dependent Adults
ClinicalTrials.gov study NCT01320748. IPD Sharing: Not stated. Countries: 1. Publications: 24.
Dual community assembly processes in dryland biocrusts communities
Open the record for dataset details and reuse information.
Dual contribution of ASIC1a channels in the spinal processing of pain information by deep projection neurons revealed by computational modeling
<p>Experimental data used in the figures of the manuscript</p>
Dual Orexin Antagonism and Emotion and Affective Processing Study
ClinicalTrials.gov study NCT07267559. IPD Sharing: YES. Countries: 1. Publications: 0.
Dual RNA-seq analyses of porcine alveolar macrophage and Toxoplasma during infection process
GEO Series GSE146715. Toxoplasma gondii; Sus scrofa. 9 samples. Type: Expression profiling by high throughput sequencing.
The DLK1-DIO3 C/D box snoRNA SNORD113-6/AF357425 plays a dual role in pre-mRNA processing and 2'O-ribose methylation in integrin signalling and arterial fibroblast function
GEO Series GSE173099. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Applying Process Dissociation to Self-Sacrificial Moral Dilemmas: Extending the Dual-Process Model (Analysis Syntax Included)
Open the record for dataset details and reuse information.
The DUAL-SYSTEM HYPOTHESIS of ANOSOGNOSIA: the Interplay Between Emotional Processing and Self-Monitoring in Neurodegenerative Patients
ClinicalTrials.gov study NCT06794580. IPD Sharing: NO. Countries: 1. Publications: 0.
Dual-process Mechanisms of Action for sipIT Intervention Effects in Patients With Urolithiasis
ClinicalTrials.gov study NCT06269783. IPD Sharing: NO. Countries: 1. Publications: 0.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.